GEO series

RNA-seq reveals abundant circRNA, lncRNA and mRNA in blood exosomes of normal persons

GSE100206 Homo sapiens (human) Non-coding RNA profiling 32 samples Submitted 2017/06/19 Platform GPL11154

At a glance

Non-coding RNA profiling · human · 32 samples

What it is: Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
Organism: Homo sapiens (human)
Samples: 32 samples
Data you can get: A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.

Summary (written by the submitters)

Exosomes are small membrane vesicles of endocytic origin secreted by most cells, and contain a wealthy cargo of protein and RNA species that can modulate recipient cells’ behaviors and may be used as biomarkers for diagnosis of human diseases. They have been found in blood and are valuable sources for biomarkers due to selective cargo loading and resemblance to their parental cells.

Read the full summary ↓

The goal of this study is to identify circRNA, lncRNA and mRNA profiles in human blood by high-throughput RNA sequencing (RNA-seq). 1-4 ml plasma or serum were used to extract exosomal RNAs by exoRNeasy Serum/Plasma Maxi kit (Qiagen). The exosomal RNAs were further treated with DNAse I and subjected to ribosome minus low-input RNAseq library preparation. The libraries were sequenced by Illumina Hiseq platform.

This dataset

Open GSE100206 in finder → Find more human RNA-seq datasets →

Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE100206_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

Also filed as BioProject PRJNA390988 and SRA study SRP109666. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 26138677) ↗

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 32 more — browse all 32 samples with per-sample file links →

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Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.